Pith. sign in

Paper Citation Record · LEDGER

Prompt-Enabled Large AI Models for CSI Feedback

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2501.10629.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.10629 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:33:55.816431Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T10:24:21.376046Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 53f9bef0-ec5c-43d5-9152-7e11665c17dd · inbound

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration cites this paper.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Prompt-Enabled Large AI Models for CSI Feedback

Reference 106

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:55.816431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:55.816431Z digest=sha256:b553b0f14a038c6d039026d15ff580d3390784b573882f76a03b782b68f309c9

Observation 3c8708f4-2a4e-48b1-aa32-4798bf43f70a · inbound

Semantic-aware Digital Twin for AI-based CSI Acquisition cites this paper.

Semantic-aware Digital Twin for AI-based CSI Acquisition Prompt-Enabled Large AI Models for CSI Feedback

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T22:36:20.767868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:36:20.767868Z digest=sha256:75a6bafcb12af6a9b6df8df535ac3b8452f6f6b477e43b7059e6e958fc3c0892

Observation f4dd1945-0677-4da5-bc43-7b9e4d14a31a · inbound

Limited Feedback in RIS-Assisted Wireless Communications: Use Cases, Challenges, and Future Directions cites this paper.

Limited Feedback in RIS-Assisted Wireless Communications: Use Cases, Challenges, and Future Directions Prompt-Enabled Large AI Models for CSI Feedback

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T21:58:58.953237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:58:58.953237Z digest=sha256:886e30351474702f277954286694e6195485c9424c03faddf6a2c3b8df1847fa

Observation 76f88db2-ae4a-4864-b647-dd0c41505e39 · inbound

Joint Spatial Division and Multiplexing with Customized Orthogonal Group Channels in Multi-RIS-Assisted Systems cites this paper.

Joint Spatial Division and Multiplexing with Customized Orthogonal Group Channels in Multi-RIS-Assisted Systems Prompt-Enabled Large AI Models for CSI Feedback

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T20:54:40.837360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:54:40.837360Z digest=sha256:3c6a04aff94b4d5f37a3ca4e514269eeb391fe99f100e71b1d0ed8e80873cb32

Observation 967f152c-305e-417a-924c-bd46601ab868 · inbound

LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks cites this paper.

LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks Prompt-Enabled Large AI Models for CSI Feedback

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T19:37:33.193341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:37:33.193341Z digest=sha256:50fa7b5b9f47f31cd28502a814fc27f388ec8a7404aec2c3ac66f3f17455a9de

Observation 554a6a05-f171-4061-afeb-4328cd2f35e1 · inbound

WiFo-CF: Wireless Foundation Model for CSI Feedback cites this paper.

WiFo-CF: Wireless Foundation Model for CSI Feedback Prompt-Enabled Large AI Models for CSI Feedback

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T00:56:04.705651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:56:04.705651Z digest=sha256:996fafe466b9743963ae76d56a273e5d7e4f0ebc5c5119488e92d134852ac7d9

Observation a104992b-c036-4ae5-8a1a-47a2a66b589c · inbound

BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization cites this paper.

BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization Prompt-Enabled Large AI Models for CSI Feedback

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T17:14:56.145285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:14:56.145285Z digest=sha256:a1b7bc4aaf50afd5b78ad64b3f69a8a5bde97d78a8b1661425a6f0c11edad451

Observation 50daf45d-2836-40f2-8c9d-a404d678db9b · inbound

A Novel 6G Dynamic Channel Map Based on a Hybrid Channel Model cites this paper.

A Novel 6G Dynamic Channel Map Based on a Hybrid Channel Model Prompt-Enabled Large AI Models for CSI Feedback

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:24:21.377814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T10:22:50.241627Z digest=sha256:4900249c8be1645115b3539fd9a0aa83013b1f4c2149f1f723387509171a03cb